{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 25471 entries, 0 to 25470\n",
      "Data columns (total 19 columns):\n",
      " #   Column                Non-Null Count  Dtype              \n",
      "---  ------                --------------  -----              \n",
      " 0   createdAt             25471 non-null  datetime64[ns]     \n",
      " 1   agent                 25471 non-null  object             \n",
      " 2   costUSD               25471 non-null  float64            \n",
      " 3   job_id                25471 non-null  object             \n",
      " 4   challenge             25471 non-null  object             \n",
      " 5   benchmark_start_time  25471 non-null  datetime64[ns, UTC]\n",
      " 6   prompt                21354 non-null  object             \n",
      " 7   response              21013 non-null  object             \n",
      " 8   model                 22607 non-null  object             \n",
      " 9   request               21354 non-null  object             \n",
      " 10  attempted             18384 non-null  object             \n",
      " 11  categories            18384 non-null  object             \n",
      " 12  task                  18384 non-null  object             \n",
      " 13  success               18205 non-null  float64            \n",
      " 14  difficulty            18384 non-null  object             \n",
      " 15  success_%             18205 non-null  float64            \n",
      " 16  run_time              18384 non-null  object             \n",
      " 17  is_regression         18384 non-null  object             \n",
      " 18  report_time           18384 non-null  datetime64[ns, UTC]\n",
      "dtypes: datetime64[ns, UTC](2), datetime64[ns](1), float64(3), object(13)\n",
      "memory usage: 3.7+ MB\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_pickle('../reports/df.pkl')\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=['benchmark_start_time', 'response', 'model'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 21013 entries, 0 to 25470\n",
      "Data columns (total 19 columns):\n",
      " #   Column                Non-Null Count  Dtype              \n",
      "---  ------                --------------  -----              \n",
      " 0   createdAt             21013 non-null  datetime64[ns]     \n",
      " 1   agent                 21013 non-null  object             \n",
      " 2   costUSD               21013 non-null  float64            \n",
      " 3   job_id                21013 non-null  object             \n",
      " 4   challenge             21013 non-null  object             \n",
      " 5   benchmark_start_time  21013 non-null  datetime64[ns, UTC]\n",
      " 6   prompt                21013 non-null  object             \n",
      " 7   response              21013 non-null  object             \n",
      " 8   model                 21013 non-null  object             \n",
      " 9   request               21013 non-null  object             \n",
      " 10  attempted             15008 non-null  object             \n",
      " 11  categories            15008 non-null  object             \n",
      " 12  task                  15008 non-null  object             \n",
      " 13  success               14835 non-null  float64            \n",
      " 14  difficulty            15008 non-null  object             \n",
      " 15  success_%             14835 non-null  float64            \n",
      " 16  run_time              15008 non-null  object             \n",
      " 17  is_regression         15008 non-null  object             \n",
      " 18  report_time           15008 non-null  datetime64[ns, UTC]\n",
      "dtypes: datetime64[ns, UTC](2), datetime64[ns](1), float64(3), object(13)\n",
      "memory usage: 3.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>createdAt</th>\n",
       "      <th>agent</th>\n",
       "      <th>costUSD</th>\n",
       "      <th>job_id</th>\n",
       "      <th>challenge</th>\n",
       "      <th>benchmark_start_time</th>\n",
       "      <th>prompt</th>\n",
       "      <th>response</th>\n",
       "      <th>model</th>\n",
       "      <th>request</th>\n",
       "      <th>attempted</th>\n",
       "      <th>categories</th>\n",
       "      <th>task</th>\n",
       "      <th>success</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>success_%</th>\n",
       "      <th>run_time</th>\n",
       "      <th>is_regression</th>\n",
       "      <th>report_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24278</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.082680</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>You are Auto-GPT, a multi-purpose AI assistant...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...</td>\n",
       "      <td>gpt-4-0314</td>\n",
       "      <td>[{'role': 'system', 'content': 'You are Auto-G...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24281</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.000470</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>Write a concise summary of the following text:...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"Tesla's reve...</td>\n",
       "      <td>gpt-3.5-turbo</td>\n",
       "      <td>[{'role': 'user', 'content': 'Write a concise ...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24282</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.000878</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>Write a concise summary of the following text;...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"a descriptio...</td>\n",
       "      <td>gpt-3.5-turbo</td>\n",
       "      <td>[{'role': 'user', 'content': 'Write a concise ...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24283</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.004808</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>Write a concise summary of the following text;...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"The text pro...</td>\n",
       "      <td>gpt-3.5-turbo</td>\n",
       "      <td>[{'role': 'user', 'content': 'Write a concise ...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24284</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.004452</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>Write a concise summary of the following text;...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"Tesla's reve...</td>\n",
       "      <td>gpt-3.5-turbo</td>\n",
       "      <td>[{'role': 'user', 'content': 'Write a concise ...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24285</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.063810</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>You are Auto-GPT, a multi-purpose AI assistant...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...</td>\n",
       "      <td>gpt-4-0314</td>\n",
       "      <td>[{'role': 'system', 'content': 'You are Auto-G...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24286</th>\n",
       "      <td>2023-08-05 08:24:11.008</td>\n",
       "      <td>auto-gpt</td>\n",
       "      <td>0.027960</td>\n",
       "      <td>1</td>\n",
       "      <td>TestRevenueRetrieval</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "      <td>You are Auto-GPT, a multi-purpose AI assistant...</td>\n",
       "      <td>{\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...</td>\n",
       "      <td>gpt-4-0314</td>\n",
       "      <td>[{'role': 'system', 'content': 'You are Auto-G...</td>\n",
       "      <td>False</td>\n",
       "      <td>retrieval</td>\n",
       "      <td>Write tesla's exact revenue in 2022 into a .tx...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No successful tests</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.232 seconds</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-08-05 08:12:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    createdAt     agent   costUSD job_id  \\\n",
       "24278 2023-08-05 08:24:11.008  auto-gpt  0.082680      1   \n",
       "24281 2023-08-05 08:24:11.008  auto-gpt  0.000470      1   \n",
       "24282 2023-08-05 08:24:11.008  auto-gpt  0.000878      1   \n",
       "24283 2023-08-05 08:24:11.008  auto-gpt  0.004808      1   \n",
       "24284 2023-08-05 08:24:11.008  auto-gpt  0.004452      1   \n",
       "24285 2023-08-05 08:24:11.008  auto-gpt  0.063810      1   \n",
       "24286 2023-08-05 08:24:11.008  auto-gpt  0.027960      1   \n",
       "\n",
       "                  challenge      benchmark_start_time  \\\n",
       "24278  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24281  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24282  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24283  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24284  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24285  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "24286  TestRevenueRetrieval 2023-08-05 08:12:00+00:00   \n",
       "\n",
       "                                                  prompt  \\\n",
       "24278  You are Auto-GPT, a multi-purpose AI assistant...   \n",
       "24281  Write a concise summary of the following text:...   \n",
       "24282  Write a concise summary of the following text;...   \n",
       "24283  Write a concise summary of the following text;...   \n",
       "24284  Write a concise summary of the following text;...   \n",
       "24285  You are Auto-GPT, a multi-purpose AI assistant...   \n",
       "24286  You are Auto-GPT, a multi-purpose AI assistant...   \n",
       "\n",
       "                                                response          model  \\\n",
       "24278  {\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...     gpt-4-0314   \n",
       "24281  {\"role\": \"assistant\", \"content\": \"Tesla's reve...  gpt-3.5-turbo   \n",
       "24282  {\"role\": \"assistant\", \"content\": \"a descriptio...  gpt-3.5-turbo   \n",
       "24283  {\"role\": \"assistant\", \"content\": \"The text pro...  gpt-3.5-turbo   \n",
       "24284  {\"role\": \"assistant\", \"content\": \"Tesla's reve...  gpt-3.5-turbo   \n",
       "24285  {\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...     gpt-4-0314   \n",
       "24286  {\"role\": \"assistant\", \"content\": \"{\\n  \\\"thoug...     gpt-4-0314   \n",
       "\n",
       "                                                 request attempted categories  \\\n",
       "24278  [{'role': 'system', 'content': 'You are Auto-G...     False  retrieval   \n",
       "24281  [{'role': 'user', 'content': 'Write a concise ...     False  retrieval   \n",
       "24282  [{'role': 'user', 'content': 'Write a concise ...     False  retrieval   \n",
       "24283  [{'role': 'user', 'content': 'Write a concise ...     False  retrieval   \n",
       "24284  [{'role': 'user', 'content': 'Write a concise ...     False  retrieval   \n",
       "24285  [{'role': 'system', 'content': 'You are Auto-G...     False  retrieval   \n",
       "24286  [{'role': 'system', 'content': 'You are Auto-G...     False  retrieval   \n",
       "\n",
       "                                                    task  success  \\\n",
       "24278  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24281  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24282  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24283  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24284  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24285  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "24286  Write tesla's exact revenue in 2022 into a .tx...      0.0   \n",
       "\n",
       "                difficulty  success_%        run_time is_regression  \\\n",
       "24278  No successful tests        0.0  60.232 seconds         False   \n",
       "24281  No successful tests        0.0  60.232 seconds         False   \n",
       "24282  No successful tests        0.0  60.232 seconds         False   \n",
       "24283  No successful tests        0.0  60.232 seconds         False   \n",
       "24284  No successful tests        0.0  60.232 seconds         False   \n",
       "24285  No successful tests        0.0  60.232 seconds         False   \n",
       "24286  No successful tests        0.0  60.232 seconds         False   \n",
       "\n",
       "                    report_time  \n",
       "24278 2023-08-05 08:12:00+00:00  \n",
       "24281 2023-08-05 08:12:00+00:00  \n",
       "24282 2023-08-05 08:12:00+00:00  \n",
       "24283 2023-08-05 08:12:00+00:00  \n",
       "24284 2023-08-05 08:12:00+00:00  \n",
       "24285 2023-08-05 08:12:00+00:00  \n",
       "24286 2023-08-05 08:12:00+00:00  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected_df = df.loc[(df['agent'] == 'auto-gpt') \n",
    "                     & (df['challenge'] == 'TestRevenueRetrieval')\n",
    "                     & (df['benchmark_start_time'] == pd.Timestamp('2023-08-05 08:12:00+0000', tz='UTC'))]\n",
    "selected_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['TestSearch', 'TestReadFile', 'TestRememberGoal_Hard',\n",
       "       'TestThreeSum', 'TestWriteFile', 'TestRememberGoal_Simple',\n",
       "       'TestDebugSimpleTypoWithGuidance', 'TestPasswordGenerator_Easy',\n",
       "       'TestWritingCLI_FileOrganizer', 'TestRevenueRetrieval',\n",
       "       'TestBasicRetrieval', 'TestRetrieval3', 'TestReturnCode_Tests',\n",
       "       'TestFunctionCodeGeneration', 'TestReturnCode_Modify',\n",
       "       'TestDebugMultipleTypo', 'TestRememberMultipleIdsWithNoise',\n",
       "       'TestRememberGoal_Advanced', 'TestReturnCode_Write',\n",
       "       'TestAdaptSimpleTypoWithGuidance',\n",
       "       'TestDebugSimpleTypoWithoutGuidance', 'TestRememberMultipleIds',\n",
       "       'TestRememberGoal_Medium', 'TestWrite6Files', 'TestAdaptLink',\n",
       "       'TestReturnCode_Simple', 'TestBasicMemory',\n",
       "       'TestWrite5FilesWithArray', 'TestPlanCreation',\n",
       "       'TestRememberMultiplePhrasesWithNoise', 'TestAdaptTeslaRevenue',\n",
       "       'TestBasicSafety_BuildNuke', 'TestWebApp_ListAnimals',\n",
       "       'TestBasicContentGen', 'TestAgentProtocol_CreateAgentTask',\n",
       "       'TestGoalLoss_Simple', 'TestWritingCLI_Easy', 'TestGoalDivergence',\n",
       "       'TestAgentProtocol_ExecuteAgentTaskStep',\n",
       "       'TestAgentProtocol_GetAgentTask',\n",
       "       'TestAgentProtocol_ListAgentTasksIds'], dtype=object)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['challenge'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set()"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(left_df['challenge'].unique()) - set(df['challenge'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "# selected_df = left_df.loc[(left_df['challenge'] == 'TestReturnCode_Simple')]\n",
    "# selected_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['gpt-engineer', 'mini-agi', 'smol-developer', 'beebot', 'auto-gpt',\n",
       "       'babyagi', 'polygpt', 'evo', 'auto-gpt-turbo', 'turbo'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['agent'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# List of agents to ignore\n",
    "agents_to_ignore = ['gpt-engineer', 'smol-developer', 'babyagi', 'evo', 'auto-gpt-turbo']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Convert 'benchmark_start_time' to datetime if it's not already\n",
    "df['benchmark_start_time'] = pd.to_datetime(df['benchmark_start_time'])\n",
    "\n",
    "# Filter out the agents to ignore\n",
    "filtered_df = df[~df['agent'].isin(agents_to_ignore)]\n",
    "\n",
    "# Group by 'benchmark_start_time', 'agent', and 'challenge', then count unique job_ids\n",
    "grouped_df = filtered_df.groupby(['benchmark_start_time', 'agent', 'challenge'])['job_id'].nunique().reset_index()\n",
    "\n",
    "# Now, regroup by 'benchmark_start_time' and 'agent' to get the number of unique runs per agent\n",
    "final_grouped_df = grouped_df.groupby(['benchmark_start_time', 'agent']).size().reset_index(name='unique_runs')\n",
    "\n",
    "# Create a single plot for all agents\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "for agent in final_grouped_df['agent'].unique():\n",
    "    agent_data = final_grouped_df[final_grouped_df['agent'] == agent]\n",
    "    plt.plot(agent_data['benchmark_start_time'], agent_data['unique_runs'], label=agent)\n",
    "\n",
    "# Customize the plot\n",
    "plt.xlabel('Benchmark Start Time')\n",
    "plt.ylabel('Number of Challenges Run')\n",
    "plt.title('Agent Benchmark Runs Over Time')\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Convert 'success' column to boolean if it's not\n",
    "df['success'] = df['success'].astype(bool)\n",
    "\n",
    "# Convert 'benchmark_start_time' to datetime if it's not\n",
    "df['benchmark_start_time'] = pd.to_datetime(df['benchmark_start_time'])\n",
    "\n",
    "filtered_df = df[~df['agent'].isin(agents_to_ignore)]\n",
    "\n",
    "# Filter the DataFrame for a specific challenge\n",
    "specific_challenge = 'TestRememberMultipleIds'  # Replace with the challenge you're interested in\n",
    "filtered_df = filtered_df[filtered_df['challenge'] == specific_challenge]\n",
    "\n",
    "# Group by 'benchmark_start_time', 'agent', and 'success', then count occurrences\n",
    "count_by_agent_over_time = filtered_df.groupby(['benchmark_start_time', 'agent', 'success']).size().reset_index(name='count')\n",
    "\n",
    "# Create a list of unique agents\n",
    "unique_agents = count_by_agent_over_time['agent'].unique()\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(15, 8))\n",
    "\n",
    "# Plot each agent\n",
    "for agent in unique_agents:\n",
    "    subset_df = count_by_agent_over_time[(count_by_agent_over_time['agent'] == agent)]\n",
    "    \n",
    "    # Plot successes and failures separately\n",
    "    for success in [True]:\n",
    "        subsubset_df = subset_df[subset_df['success'] == success]\n",
    "        plt.plot(subsubset_df['benchmark_start_time'], subsubset_df['count'], marker='o', linestyle='-', label=f\"{agent} (Success: {success})\")\n",
    "\n",
    "plt.title(f'Success/Failure Count by Agent Over Time for Challenge: {specific_challenge}')\n",
    "plt.xlabel('Benchmark Start Time')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True)\n",
    "plt.legend(title='Agents')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from collections import OrderedDict\n",
    "\n",
    "\n",
    "# Convert the JSON-like strings in the 'response' column to nested dictionaries\n",
    "def nested_json(x):\n",
    "    if pd.notna(x):\n",
    "        d = json.loads(x)  # Convert the string to a dict\n",
    "        if \"content\" in d and isinstance(d[\"content\"], str):\n",
    "            try:\n",
    "                d[\"content\"] = json.loads(d[\"content\"])  # Try converting 'content' to a dict\n",
    "            except json.JSONDecodeError:\n",
    "                pass  # If it's not JSON, leave it as is\n",
    "        return d\n",
    "    return x\n",
    "\n",
    "\n",
    "# Initialize an empty dictionary\n",
    "response_dict = OrderedDict()\n",
    "response_nested_dict = OrderedDict()\n",
    "\n",
    "# Get the total number of rows\n",
    "total_rows = len(selected_df)\n",
    "\n",
    "# Loop over the DataFrame's index and rows\n",
    "for i, (_, row) in enumerate(selected_df.iterrows()):\n",
    "    # Convert the JSON-like strings in the 'response' to nested dictionaries\n",
    "    response = json.loads(row['response'])\n",
    "    response_nested = nested_json(row['response'])\n",
    "    \n",
    "    # Insert the record into the dictionary with the row number as the key\n",
    "    response_dict[str(total_rows - i)] = response\n",
    "    response_nested_dict[str(total_rows - i)] = response_nested\n",
    "    \n",
    "# Reverse the order of items in the OrderedDict\n",
    "reversed_response_dict = OrderedDict(reversed(list(response_dict.items())))\n",
    "reversed_response_nested_dict = OrderedDict(reversed(list(response_nested_dict.items())))\n",
    "\n",
    "# Write the dictionary to a JSON file\n",
    "with open('selected_logs.json', 'w') as f:\n",
    "    json.dump(reversed_response_dict, f, indent=4)\n",
    "    \n",
    "# Write the dictionary to a JSON file\n",
    "with open('selected_logs_nested.json', 'w') as f:\n",
    "    json.dump(reversed_response_nested_dict, f, indent=4)\n",
    "\n",
    "# # Show the 'response' column\n",
    "# print(response_column.head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
